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Record W4416452968 · doi:10.1080/10550887.2025.2581489

Management of treatment-refractory opioid use disorder: a case-series of a modified maintenance protocol

2025· article· en· W4416452968 on OpenAlexaffabout
William Rioux, Jeremy Weleff, Cristina Zaganelli, Lovneet Hayer, S. Monty Ghosh

Bibliographic record

VenueJournal of Addictive Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsAlberta Health ServicesUniversity of CalgaryWomen and Children’s Health Research InstituteUniversity of Alberta
Fundersnot available
KeywordsHydromorphoneBuprenorphineOpioidProtocol (science)AgonistNarcotic antagonistsMorphineOpioid use disorder

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Reaching the maintenance phase and reducing illicit substance use in those with severe opioid use disorder (OUD) remains a large clinical challenge. The use of intravenous opioid agonist treatment has become a last-line treatment for severe OUD. In this case series, we describe a novel form of this treatment using both long-acting buprenorphine and injectable hydromorphone. METHODS: Retrospective chart review of cases in specialized enhanced addiction treatment centers in Alberta, Canada of patients prescribed long-acting injectable buprenorphine and intravenous hydromorphone. RESULTS: We describe four cases of males ranging from 39 to 64 years of age with treatment-refractory opioid use disorder and multiple concurrent mental health and social issues who have experienced various periods of stability on long-acting injectable buprenorphine and along with intravenous hydromorphone or slow release oral morphine). DISCUSSION AND CONCLUSIONS: This case series presents a novel treatment combining buprenorphine extended-release injection with hydromorphone or slow release oral morphine for individuals with OUD who have not responded to standard opioid agonist treatment. The approach showed promise in managing withdrawal and cravings, potentially improving treatment retention. Further research is needed to evaluate long-term outcomes and optimize retention strategies to reduce opioid-related mortality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.301
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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